Identify gender of researcher using AI

Below is a free classifier to identify gender of researcher. Just upload your image, and our AI will predict if the researcher is male or female - in just seconds.

gender of researcher identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("gender-of-researcher", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/gender-of-researcher/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_image_url"}' \
        https://www.nyckel.com/v1/functions/gender-of-researcher/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the researcher is male or female.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female Researcher and Male Researcher.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the researcher is male or female).

Whether you're just curious or building gender of researcher detection into your application, we hope our classifier proves helpful.

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Need to identify gender of researcher at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Diversity Analytics: Organizations can utilize the gender identification function to analyze demographic diversity within research teams. By assessing the gender distribution of researchers, companies can identify gender imbalance and implement targeted initiatives to improve diversity.

  • Hiring Optimization: Recruitment agencies can integrate the gender classification feature in their candidate vetting processes. This allows them to assess gender representation among applicants and ensure that hiring practices promote gender equality in research roles.

  • Funding Allocation Insights: Grant organizations can use the gender identifier to evaluate funding trends based on researcher demographics. This data can highlight any disparities in funding distribution, encouraging more equitable support for researchers of all genders.

  • Marketing Strategies: Companies targeting educational institutions or research organizations can leverage gender insights to tailor their marketing campaigns. By understanding the gender composition of researchers, they can create more relevant content and outreach strategies that resonate with specific demographics.

  • Research Collaboration Opportunities: Academic institutions can analyze gender representation among their researchers and potential collaborators. This can help foster partnerships that are more inclusive and diverse, ultimately enhancing the quality and impact of research outcomes.

  • Performance Evaluation: Research organizations can use gender classification to assess performance metrics and outcomes based on researcher gender. This analysis can uncover trends that inform policies to ensure equal opportunities and support for all researchers.

  • Educational Program Development: Educational institutions can use the gender identification tool to tailor programs aimed at encouraging young people to pursue research careers. Insights from the gender distribution of current researchers can inform initiatives designed to inspire more balanced participation in STEM fields.

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